Open Source Linux JSON Software - Page 4
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fast-xml-parser
Validate XML, Parse XML and Build XML rapidly
Validate XML, Parse XML to JS Object, or Build XML from JS Object without C/C++ based libraries and no callback. -
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iguana
Universal serialization engine
iguana is a modern, universal and easy-to-use serialization engine developed in C++20 and C++17. Serialize an object to any other format data with compile-time reflection, such as json, xml, binary, table and so on. This library is designed to unify and simplify serialization in a portable cross-platform manner. This library is also easy to extend, and you can serialize any format of data with the library. -
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json-render
Generate dashboards, widgets, apps, and data visualizations
json-render is a lightweight, framework-agnostic utility designed to turn JSON data into usable HTML layouts automatically, offering a straightforward way to visualize structured data without writing bespoke template code. It takes deeply nested JSON objects and renders them into intuitive, readable UIs by mapping data types and keys to semantic HTML elements, which helps developers prototype dashboards, debugging tools, or data-driven interfaces quickly. The tool is built to be embeddable in any JavaScript environment — client-side or server-side — without dependencies on a particular frontend framework, making it easy to drop into documentation sites, dev tools, or internal utilities. JSON-Render also supports customization hooks and configuration options so that developers can fine-tune how types are displayed, apply custom styling, and inject interactive behaviors like folding nested sections or filtering keys. -
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5e-database
Database for the D&D 5th Edition API
Just a simple API for things within the Official 5th Edition SRD and is easily accessible through a modern RESTful API. -
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Ason
This library intends to make JSON very easy to interact with in Java
This library intends to make JSON very easy to interact with in Java; it also makes (de)serialization painless. It wraps around the well-known org.json classes (JSONObject, JSONArray, etc.) which also happen to be included in the Android SDK. As we all know, those stock classes tend to be a pain. They feel bulky, and make you try/catch way too many exceptions. -
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Awkward Array
Manipulate JSON-like data with NumPy-like idioms
Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms. Arrays are dynamically typed, but operations on them are compiled and fast. Their behavior coincides with NumPy when array dimensions are regular and generalizes when they're not. -
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Bludit
Simple, Fast, Secure, Flat-File CMS
Bludit the Simple, Fast, and Flexible CMS. With Bludit, you can build your own website or blog in just seconds. It’s completely free, open-source, and easy to use. Bludit stores content in JSON format, eliminating the need for database installation or configuration. All you need is a web server with PHP support. As a Flat-File CMS, Bludit offers unparalleled flexibility and speed. Plus, with support for both Markdown and HTML code, creating and managing content has never been easier. -
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Dataclasses JSON
Easily serialize Data Classes to and from JSON
This library provides a simple API for encoding and decoding dataclasses to and from JSON. -
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Dictionary
A JSON representation of Webster's Unabridged Dictionary
Dictionary is a lightweight Node.js module that provides access to word definitions using WordNet. The project offers a simple interface for retrieving definitions programmatically, making it useful for applications that require dictionary or vocabulary functionality. It is designed to be straightforward, enabling developers to quickly integrate dictionary lookups without heavy dependencies. Since it relies on WordNet data, it provides accurate and widely accepted definitions. The repository also includes usage examples that demonstrate how to incorporate the module into JavaScript projects. As an open source utility, dictionary can be extended or customized to suit different natural language processing or educational applications. -
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Figma Sprite Generator
A Figma plugin to generate sprite sheets and JSON files from selected
Figma Sprite Generator is a Figma plugin designed to create sprite sheets and corresponding JSON metadata from selected icons. This tool is ideal for designers and developers working on web projects or UI libraries, as it automates sprite generation for more efficient workflows. Users can quickly convert their icons into PNG sprites and extract JSON files with icon dimensions and positions, streamlining the process of incorporating sprites into websites or applications. -
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JC
CLI tool and python library
CLI tool and python library that converts the output of popular command-line tools and file types to JSON or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts. jc JSONifies the output of many CLI tools and file types for easier parsing in scripts. This allows further command-line processing of output with tools like jq or jello by piping commands. The JC parsers can also be used as python modules. In this case, the output will be a python dictionary, or a list of dictionaries, instead of JSON. Two representations of the data are available. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. Certain known values of None are converted to JSON null, known boolean values are converted, and, in some cases, additional semantic context fields are added. -
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JS JOSE
JavaScript library to encrypt/decrypt data in JSON Web Encryption
JavaScript library to encrypt/decrypt data in JSON Web Encryption. -
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JSON Schema to TS
Infer TS types from JSON schemas
A lot of projects use JSON schemas for runtime data validation along with TypeScript for static type checking. -
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JSON5
JSON5 — JSON for Humans
JSON5 is an extension to the popular JSON file format that aims to be easier to write and maintain by hand (e.g. for config files). It is not intended to be used for machine-to-machine communication. JSON5 was started in 2012, and as of 2022, now gets >65M downloads/week, ranks in the top 0.1% of the most depended-upon packages on npm, and has been adopted by major projects like Chromium, Next.js, Babel, Retool, WebStorm, and more. It's also natively supported on Apple platforms like MacOS and iOS. Formally, the JSON5 Data Interchange Format is a superset of JSON (so valid JSON files will always be valid JSON5 files) that expands its syntax to include some productions from ECMAScript 5.1 (ES5). It's also a subset of ES5, so valid JSON5 files will always be valid ES5. This JavaScript library is a reference implementation for JSON5 parsing and serialization and is directly used in many of the popular projects mentioned above. -
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Jason
A blazing fast JSON parser and generator in pure Elixir
A blazing-fast JSON parser and generator in pure Elixir. The parser and generator are at least twice as fast as other Elixir/Erlang libraries (most notably Poison). The performance is comparable to jiffy, which is implemented in C as a NIF. Jason is usually only twice as slow. Both the parser and generator fully conform to RFC 8259 and ECMA 404 standards. The parser is tested using JSONTestSuite. The package can be installed by adding jason to your list of dependencies in mix.exs. Jason follows the JSON spec more strictly, for example, it does not allow unescaped newline characters in JSON strings - e.g. "\"\n\"" will produce a decoding error. No support for decoding into data structures (the as: option). No built-in encoders for MapSet, Range and Stream. No support for encoding arbitrary structs - explicit implementation of the Jason.Encoder protocol is always required. Different pretty-printing customization options (default pretty: true works the same). -
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JsonDB
A simple "database" that use JSON file for Node.JS.
JsonDB is now using the concept of async/await for all its calls since we read from the database file on demand and depending on how the database is configured, we might write at each push. The module stores the data using JavaScript Object directly into a JSON file. You can easily traverse the data to directly reach the desired property using the DataPath. The principle of DataPath is the same as XMLPath. -
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MDN data
This repository contains general data for Web technologies
This repository contains general data for Web technologies and is maintained by the MDN team at Mozilla. -
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Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the familiar Unix tools operate on integer-indexed fields: if the natural data structure for the latter is the array, then Miller's natural data structure is the insertion-ordered hash map. Miller handles a variety of data formats, including but not limited to the familiar CSV, TSV, and JSON/JSON Lines. (Miller can handle positionally-indexed data too!) -
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Nette Utility Classes
Lightweight utilities for string & array manipulation, image handling
In package nette/utils you will find a set of useful classes for everyday use. Lightweight utilities for string & array manipulation, image handling, safe JSON encoding/decoding, validation, slug or strong password generating etc. -
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PHP7
PHP7 / Laravel Multi-format Streaming Parser
When it comes to parsing XML/CSV/JSON/... documents, there are 2 approaches to consider. DOM loading loads all the documents, making it easy to navigate and parse, and as such provides maximum flexibility for developers. Streaming implies iterating through the document, acts like a cursor, and stops at each element in its way, thus avoiding memory overkill. Thus, when it comes to big files, callbacks will be executed meanwhile file is downloading and will be much more efficient as far as memory is concerned. -
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Ponzu
Headless CMS with automatic JSON API
Ponzu is a powerful and efficient open-source HTTP server framework and CMS. It provides automatic, free, and secure HTTP/2 over TLS (certificates obtained via Let's Encrypt), a useful CMS and scaffolding to generate content editors, and a fast HTTP API on which to build modern applications. Ponzu is released under the BSD-3-Clause license. With the rise in popularity of web/mobile apps connected to JSON HTTP APIs, better tools to support the development of content servers and management systems are necessary. Ponzu fills the void where you want to reach for WordPress to get a great CMS, or Rails for rapid development, but need a fast JSON response in a high-concurrency environment. Since HTTP/2 Server Push is used, Go 1.8+ is required. However, it is not required of clients connecting to a Ponzu server to make HTTP/2 requests. -
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RestSharp
Simple REST and HTTP API Client for .NET
RestSharp is probably the most popular HTTP client library for .NET. Featuring automatic serialization and deserialization, request and response type detection, variety of authentications and other useful features, it is being used by hundreds of thousands of projects. RestSharp passed over 32 million downloads on NuGet, with average daily download count of 10,000. It's being used by many popular OSS projects, including Roslyn and Swagger. The main purpose of RestSharp is to make synchronous and asynchronous calls to remote resources over HTTP. As the name suggests, the main audience of RestSharp are developers who use REST APIs. However, RestSharp can call any API over HTTP (but not HTTP/2), as long as you have the resource URI and request parameters that you want to send comply with W3C HTTP standards. RestSharp can take care of serializing the request body to JSON or XML and deserialize the response. It can also form a valid request URI based on different parameter kinds. -
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SJSON
Set JSON values very quickly in Go
SJSON is a complement to GJSON, also written in Go, focused on setting or modifying values inside JSON documents through path expressions. Just as GJSON allows fast retrieval, SJSON allows fast mutation: you provide a JSON document, a dot-notation path (including array indices or the special “-1” index for appending), and a new value, and SJSON produces the updated JSON. It supports many data types (numbers, strings, bools, arrays, maps), raw byte paths, and options for in-place replacement. Because it avoids full unmarshalling into structs, it is very efficient for many use-cases where you just need to tweak a JSON document quickly. Paths support appending to arrays, creating intermediate structures if missing, and deleting (via the Delete function). It’s ideal for manipulating JSON dynamically in Go without bulky models. -
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SPyQL
Query data on the command line with SQL-like SELECTs powered by Python
SQL with Python in the middle. SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL. Basically, data can come from any command that outputs text :-). More, data can be generated by a Python expression! And since SPyQL also writes to different formats, it allows to easily convert between data formats. -
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Spring Data Redis
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across multiple Redis drivers (Lettuce and Jedis). Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions. RedisTemplate that provides a high level abstraction for performing various Redis operations, exception translation and serialization support. Pubsub support (such as a MessageListenerContainer for message-driven POJOs). Redis Sentinel and Redis Cluster support. Reactive API using the Lettuce driver. JDK, String, JSON and Spring Object/X.
